{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,20]],"date-time":"2026-06-20T16:33:15Z","timestamp":1781973195721,"version":"3.54.5"},"reference-count":66,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100004489","name":"Mitacs","doi-asserted-by":"publisher","award":["IT15927"],"award-info":[{"award-number":["IT15927"]}],"id":[{"id":"10.13039\/501100004489","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Netw. Serv. Manage."],"published-print":{"date-parts":[[2023,12]]},"DOI":"10.1109\/tnsm.2023.3260039","type":"journal-article","created":{"date-parts":[[2023,3,21]],"date-time":"2023-03-21T20:01:13Z","timestamp":1679428873000},"page":"4951-4963","source":"Crossref","is-referenced-by-count":69,"title":["Unsupervised GAN-Based Intrusion Detection System Using Temporal Convolutional Networks and Self-Attention"],"prefix":"10.1109","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1178-2648","authenticated-orcid":false,"given":"Paulo Freitas","family":"de Araujo-Filho","sequence":"first","affiliation":[{"name":"Centro de Inform&#x00E1;tica, Universidade Federal de Pernambuco, Recife, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohamed","family":"Naili","sequence":"additional","affiliation":[{"name":"AI HUB Canada, Ericsson GAIA Montreal, Montreal, QC, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5025-6624","authenticated-orcid":false,"given":"Georges","family":"Kaddoum","sequence":"additional","affiliation":[{"name":"Electrical Engineering Department, &#x00C9;cole de Technologie Sup&#x00E9;rieure, University of Quebec, Montreal, QC, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3098-4082","authenticated-orcid":false,"given":"Emmanuel Thepie","family":"Fapi","sequence":"additional","affiliation":[{"name":"AI HUB Canada, Ericsson GAIA Montreal, Montreal, QC, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0850-2710","authenticated-orcid":false,"given":"Zhongwen","family":"Zhu","sequence":"additional","affiliation":[{"name":"AI HUB Canada, Ericsson GAIA Montreal, Montreal, QC, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2017.2694844"},{"key":"ref57","article-title":"Gradient descent on infinitely wide neural networks: Global convergence and generalization","author":"bach","year":"2021","journal-title":"arXiv 2110 08084"},{"key":"ref56","first-page":"4761","article-title":"The convergence rate of neural networks for learned functions of different frequencies","volume":"32","author":"ronen","year":"2019","journal-title":"Proc Int Conf Adv Neural Inf Process Syst"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2017.104"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-30490-4_56"},{"key":"ref59","first-page":"381","article-title":"Overfitting in neural nets: Backpropagation, conjugate gradient, and early stopping","volume":"13","author":"caruana","year":"2000","journal-title":"Proc Int Conf Adv Neural Inf Process Syst"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2019.2896380"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-49430-8_3"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2017.05.009"},{"key":"ref52","author":"ahlashkari","year":"2020","journal-title":"CICFlowMeter"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330701"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2893871"},{"key":"ref54","author":"ozgumus","year":"2019","journal-title":"Adversarially learned anomaly detection using generative adversarial networks"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2018.1700332"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCNT.2018.8494096"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2993782"},{"key":"ref19","year":"2022","journal-title":"Famous DDoS Attacks | The Largest DDoS Attacks All Time"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2017.2772792"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CCST.2019.8888419"},{"key":"ref50","year":"2019","journal-title":"DDoS Eval Dataset (CIC-DDoS2019)"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2021.07.037"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2019.2928287"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3110291"},{"key":"ref47","year":"2023","journal-title":"Apache Kafka"},{"key":"ref42","author":"kaiser","year":"2017","journal-title":"Tensor2Tensor transformers New deep models for NLP"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2765202"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.sysarc.2019.02.009"},{"key":"ref43","author":"kekki","year":"2018","journal-title":"MEC in 5g networks"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.sysarc.2021.102214"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2018.04.017"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2855078"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JSYST.2013.2257594"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781316417744"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.jii.2018.01.005"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/DSN.2011.5958263"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC.2019.8885534"},{"key":"ref40","first-page":"214","article-title":"Wasserstein generative adversarial networks","author":"arjovsky","year":"2017","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICM50269.2020.9331819"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICM50269.2020.9331794"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00088"},{"key":"ref36","article-title":"Anomaly detection with generative adversarial networks for multivariate time series","author":"li","year":"2018","journal-title":"arXiv 1809 04758"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2020.3034647"},{"key":"ref30","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"arXiv 1706 03762"},{"key":"ref33","article-title":"A machine learning-based approach to build zero false-positive IPSs for industrial IoT and CPS with a case study on power grids security","author":"haghighi","year":"2020","journal-title":"IEEE Trans Ind Appl"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3004125"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/NOMS.2018.8406257"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/9781118867464"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3018259"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/LCN44214.2019.8990890"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2018.2854724"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-019-02805-w"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/2542049"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2017.02.009"},{"key":"ref20","author":"nicholson","year":"2022","journal-title":"Five Most Famous DDoS Attacks and Then Some"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3001350"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOMWKSHPS50562.2020.9162668"},{"key":"ref22","author":"dobbins","year":"2021","journal-title":"High-profile DDoS extortion attacks against SIP\/RTP VoIP providers"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2022.3167368"},{"key":"ref21","author":"dobbins","year":"2021","journal-title":"Fancy lazarus DDoS extortion campaign"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3034621"},{"key":"ref28","article-title":"A comparison of LSTMs and attention mechanisms for forecasting financial time series","author":"hollis","year":"2018","journal-title":"arXiv 1812 07699"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3024800"},{"key":"ref29","article-title":"An empirical evaluation of generic convolutional and recurrent networks for sequence modeling","author":"bai","year":"2018","journal-title":"arXiv 1803 01271"},{"key":"ref60","year":"2023","journal-title":"What is a DDoS attack?"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2014.05.011"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1016\/j.jisa.2021.103090"}],"container-title":["IEEE Transactions on Network and Service Management"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4275028\/10355751\/10077779.pdf?arnumber=10077779","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,13]],"date-time":"2023-12-13T19:35:14Z","timestamp":1702496114000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10077779\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12]]},"references-count":66,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tnsm.2023.3260039","relation":{},"ISSN":["1932-4537","2373-7379"],"issn-type":[{"value":"1932-4537","type":"electronic"},{"value":"2373-7379","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,12]]}}}